Job Description

Position Location: Markham, ON, CA

Mode: Hybrid (Mandatorily need to visit office 3 days (Monday/ Tuesday/ Wednesday))

Role Purpose

- Architect and implement advanced data solutions using Snowflake on AWS, ensuring scalable, secure, and high-performance data environments.
- Migration of the existing Datawarehouse solution to Snowflake
- Technology platform evaluations in the data and analytics space
- Collaborate with cross-functional teams (data engineers, AI engineers, business, solution architects) to translate business requirements into technical solutions aligned with data strategy.
- Ensure data governance, security, and compliance within the Snowflake ecosystem, adhering to regulatory and organizational standards.

Experience and Capabilities

- Extensive experience (8+ years) in data architecture and engineering, with a proven track record in large-scale data transformation programs, ideally in insurance or financial services.
- Proven experience in architecting and implementing advanced data solutions using Snowflake on AWS,
- Expertise in design and orchestrating data acquisition pipelines using AWS Glue for ETL/ELT, Snowflake OpenFlow and Apache Airflow for workflow automation, enabling seamless ingestion of different data from diverse sources.
- Proven experience in DBT to manage and automate complex data transformations within Snowflake, ensuring modular, testable, and version-controlled transformation logic.
- Experience in implementing the lake house solution, Medallion architecture for financial or insurance carriers
- Experience in optimizing and tuning Snowflake environments for performance, cost, and scalability,



including query optimization and resource management,
- Experience in architecting/lead migration of workloads from Cloudera to Snowflake
- Design Streamlit apps and define current capabilities and data products leveraging snowflake ML and LLOPS capabilities.
- Experience in evaluating the data technology platform including data governance suites, data security products
- Exposure to enterprise Datawarehouse solution like Cloudera, AWS Redshift and informatica tool sets- IDMC, powercenter, BDM
- Develop robust data models and data pipelines to support data transformation, integrating multiple data sources and ensuring data quality and integrity.
- Document architecture, data flows, and transformation logic to ensure transparency, maintainability, and knowledge sharing across teams.
- Strong knowledge of data lifecycle mgmt., data retention, data modelling and working knowledge of cloud computing, and modern development practices.
- Experience with data governance, metadata management, and data quality frameworks (e.g., Collibra, Informatica).
- Experience in converting policy/data conversion from legacy to modern platform
- Deep expertise in Snowflake (Snowpro advanced certification preferred), with hands-on experience delivering Snowflake as an enterprise capability.
- Hands-on experience with AWS Glue for ETL/ELT, Apache Airflow for orchestration, and dbt for transformation (preferably deployed on AWS ECS).
- Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
- Familiarity with data mesh principles, data product delivery, and modern data warehousing paradigms.

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📌 Data Architect (Markham)
🏢 TechDoQuest
📍 Markham